P Value Explained Without the Nonsense | What Does It Actually Mean?

What does a P value actually mean? It is one of the most commonly used — and commonly misunderstood — concepts in medical research. In this video, we build the intuition behind the P value using simple examples, without starting with complicated statistical theory. You'll understand: • Why random chance matters in research • What the null hypothesis H₀ means • The intuition behind the P value • How to interpret P = 0.03 • What “our result or something more extreme” means • Why a small P value provides evidence against the null model • Why P = 0.03 does NOT mean there is a 3% chance that H₀ is true • What a P value can — and cannot — tell you The central idea is: Assume there is no real effect. ↓ How surprising would our observed data — or something more extreme — be? ↓ P VALUE A P value describes the probability of obtaining data at least as extreme as those observed assuming the null hypothesis and statistical model are true. It does not directly tell you: the probability that the null hypothesis is true. This is Part 1 of our P-value explanation. Continue with: P less than 0.05 Explained: Statistical Significance & the Biggest P-Value Myths TRW — The Research Whiteboard Biostatistics • Epidemiology • Research Methods • Evidence Synthesis • Public Health Don’t memorise statistics. Understand it. #PValue #Biostatistics #MedicalResearch #Statistics #ResearchMethods #StatisticsForDoctors #TRW